Key result
New wrist-type PPG algorithm demonstrates robustness to motion noise and low computational complexity during exercise.
Why the study?
A heart rate estimation algorithm from wrist-type PPG signals with robustness to motion noise and low computational complexity is needed.
Answers are grounded in this paper and cite their sources.
The proposed PPG-based heart rate estimation algorithm offers robustness to motion artifacts with low computational complexity.
This paper introduces a noise-robust HR estimation algorithm using wrist-type PPG signals that consist of preprocessing block, motion artifact reduction block, and frequency tracking block. The proposed algorithm has not only robustness for motion noise but also low computational complexity. The proposed algorithm was tested on a data set of 12 subjects and recorded during treadmill exercise in order to verify and compare with other existing algorithms.
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Shin et al. (2019) studied this question. Noise-robust HR estimation algorithm from PPG signal vs. Other existing algorithms was evaluated on Heart rate estimation accuracy and robustness to motion noise. A proposed noise-robust heart rate estimation algorithm using wrist-type PPG signals demonstrated robustness to motion noise and low computational complexity during treadmill exercise in 12 subjects.
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